Save up to 40% on data clouds with Slingshot

Slingshot feature showing single-pane user interface

Single-pane for data clouds

Complete visibility and control over data cloud

Gain complete visibility with dashboards and reports, spanning from total savings across data clouds to object-level cost & performance.

Slingshot feature showing warehouse rightsizing schedules

Warehouse rightsizing schedules

Dynamic warehouse rightsizing for Snowflake

Dynamic warehouse sizing schedules based on usage. Slingshot analyzes workloads, run times, data spill, and queuing to make suggestions.

Slingshot feature showing automated compute optimizations for Databricks

Compute cluster optimization

Automated optimization for Databricks Jobs

Slingshot provides ML-powered compute optimizations for Databricks Jobs. Approve optimizations in a click, or fully automate for scale.

Slingshot feature showing waste reduction user interface

Reduce waste

Reduce data cloud waste and inefficiencies

Slingshot uses historical information and metadata to detect waste and optimize compute, queries and data storage across data clouds.

Slingshot feature showing saving potential

Saving potential

See projected savings

Each recommendation has projected savings to help you prioritize and assess saving potential from optimizing compute, queries & storage.

Slingshot feature showing alerts user interface

Insights and alerts

Costs insights and alerts

See overall data cloud spend, analyze Snowflake contract use, pinpoint cost trends and get alerted of cost anomalies with Slingshot.

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SEE SLINGSHOT IN ACTION

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